Dynatrace announced the introduction of Security Analytics, a new Dynatrace® platform solution designed to help organizations better defend against threats to their hybrid and multicloud environments.
Dynatrace® Security Analytics leverages Davis® AI, which combines predictive and causal AI techniques to provide security analysts with the precise answers and data context they need to prioritize and investigate threats and vulnerabilities. Later this year, Security Analytics will also include generative AI capabilities as part of Dynatrace's planned expansion to provide a hypermodal AI offering through Davis. In addition, Security Analytics now leverages Dynatrace® AutomationEngine to create automations and workflows that analysts can use to assess the impact of an attack, find the indicators of compromise (IOCs), or automatically trigger a response. Combining Davis hypermodal AI, precise answers with context, and intelligent automation empowers security analysts to defend against emerging cyber threats proactively. It also bolsters their organization’s cybersecurity defense and overall security posture.
Dynatrace Security Analytics fuels the answers and automation it delivers with logs, metrics, traces, and topology while keeping data context intact. This enables teams to identify and investigate threats that may be impossible to pinpoint from logs alone. Furthermore, Security Analytics adds to other Dynatrace application security capabilities. These include:
- Runtime vulnerability analytics, which provides real-time detection and prioritization of vulnerabilities that have escaped into production environments.
- Runtime application protection, which detects and blocks common application attacks, like SQL injection, command injection, and JNDI attacks.
Steve Tack, SVP of Product Management at Dynatrace, said, “In today’s rapidly evolving threat landscape, organizations face an unprecedented risk of cyberattacks that can wreak havoc on their operations and customers’ trust. With Dynatrace Security Analytics, analysts can quickly investigate and verify what happened and leverage observability and security data in full context to analyze and take proactive action to strengthen defenses. Combining these new security analytics with our platform’s other application security capabilities enables our customers to successfully deliver digital transformation with the confidence that their hybrid and multicloud environments are well protected.”
Dynatrace Security Analytics is available to customers now.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...